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Building Global Societies on Collective Intelligence: Challenges and Opportunities.

, , , , , , and . Digit. Gov. Res. Pract., 3 (4): 31:1-31:6 (October 2022)

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The How and Why to Internet Voting an Attempt to Explain E-Stonia., and . E-VOTE-ID, volume 10141 of Lecture Notes in Computer Science, page 178-191. Springer, (2016)Verifiability Experiences in Government Online Voting Systems., , , and . E-VOTE-ID, volume 10615 of Lecture Notes in Computer Science, page 248-263. Springer, (2017)How does open government data driven co-creation occur? Six factors and a 'perfect storm'; insights from Chicago's food inspection forecasting model., , , , and . Gov. Inf. Q., 36 (1): 88-97 (2019)Open Government Data Driven Co-creation: Moving Towards Citizen-Government Collaboration., , , and . EGOV, volume 11020 of Lecture Notes in Computer Science, page 184-195. Springer, (2018)Die sichere Stimmabgabe über das Internet: Kryptographie und Infrastruktur., , , , and . Informationswirtschaft: Ein Sektor mit Zukunft, volume P-33 of LNI, page 89-101. GI, (2003)E-Voting - An Overview of the Development in the Past 15 Years and Current Discussions., , and . E-VOTE-ID, volume 11759 of Lecture Notes in Computer Science, page 1-13. Springer, (2019)Tripped at the Finishing Line: The Åland Islands Internet Voting Project., , , , and . E-VOTE-ID, volume 12455 of Lecture Notes in Computer Science, page 36-49. Springer, (2020)Co-creating an Open Government Data Driven Public Service: The Case of Chicago's Food Inspection Forecasting Model., , , and . HICSS, page 1-10. ScholarSpace / AIS Electronic Library (AISeL), (2018)Introduction to the Minitrack on Emerging Topics in Digital Government., , and . HICSS, page 1-2. ScholarSpace, (2021)Automated impact assessment - How digitizing government enables rapid and tailor-made policy responses., , , and . DG.O, page 244-251. ACM, (2022)